Data Science Education Publication

This page presents Hazzan and Mike’s publications on data science education.

Back to the Technion Data Science Education website 
Hazzan, O. and Mike, K. (2023). Guide to Teaching Data Science: An Interdisciplinary Approach, Springer.

Journal papers

Hazzan, O. and Mike, K. (2021). A Journal for Interdisciplinary Data Science Education, Communications of the ACM 64(8), pp. 10-11, https://dl.acm.org/doi/pdf/10.1145/3469281

Hazzan, O. and Mike, K. (2022). Teaching core principles of machine learning with a simple machine learning algorithm: The case of the KNN algorithm in a high school introduction to data science course, ACM Inroads 13(1), pp. 18-25. https://dl.acm.org/doi/10.1145/3514217

Mike, K. and Hazzan, O. (2022). Machine learning for non-major data science students: A white box approach, special issue on Research on Data Science Education, The Statistics Education Research Journal (SERJ) 21(2), Article 10.

Mike, K., Ragonis, N., Rosenberg-Kima, R. and Hazzan, O. (August 2022). Computational thinking in the era of data science, Communications of the ACM 65(8), pp. 33-35.

Mike, K. and Hazzan, O. (2022). Base rate neglect in computer science education, arXiv, Cornell University, https://doi.org/10.48550/arXiv.2209.08312

Mike, K. and Hazzan, O. (2023). What Is Data Science?, Communications of the ACM 66(2), pp. 12-13, https://dl.acm.org/doi/10.1145/3575663

Mike, K. and Hazzan, O. (in press). What is common to transportation and health in machine learning education? The Domain Neglect Bias, the IEEE Transactions on Education.

Conference papers/presentations

Mike, K., Nemirovsky-Rotman, S. and Hazzan, O. (April 2020). Interdisciplinary education – The case of Bio Medical signal processing, Proceedings of the EDUCON2020 – IEEE Global Engineering Education Conference, Porto, Portugal (on-line conference due to the Corona pandemic), 339-343. https://doi.org/10.1109/EDUCON45650.2020.9125200

Mike, K., Hazan, T. and Hazzan, O. (November 2020). Equalizing Data Science Curriculum for Computer Science Pupils, Koli Calling – International Conference on Computing Education Research, Finland, Article No.: 20, Pages 1–5 https://doi.org/10.1145/3428029.3428045

Mike, K., Hartal, G. and Hazzan, O. (April 2021). Widening the Shrinking Pipeline: The Case of Data Science, EDUCON2021 – IEEE Global Engineering Education Conference, Vienna, Austria, pp.252 –261. https://ieeexplore.ieee.org/document/9453924 

Mike, K. and Hazzan, O. (March 2022). Interdisciplinary CS1 for non-majors: The case of graduate psychology students, Proceedings of the EDUCON2022 – IEEE Global Engineering Education Conference, Tunis, Tunisia. https://ieeexplore.ieee.org/document/9766516

Mike, K. and Hazzan, O. (2021). Birds of a Feather: How Can Computer Science Educators Benefit from Data Science Education?, Proceedings of SIGCSE – The Technical Symposium on Computer Science Education, Toronto, Canada. https://doi.org/10.1145/3408877.3439505

Hazzan, O. and Mike, K. (2023). Guide to Teaching Data Science: Pedagogical Principles and Main Topics, IDSI2023 – The Second International Israel Data Science Initiative Conference, Ein Gedi, the Dead Sea.

Communications of the ACA blogs